TWiST 500 interviews with Cortical Labs, Turing, AND Mercor | E2159

It's really important to um benchmark um LLMs to figure out where they are good

at, where are gaps in the models so that you can generate data that could help the LLM get better at those specific

tasks. One big challenge, Alex, that I see today in the overall evaluation and

benchmarking market is that a lot of the evaluations are somewhat academic and somewhat synthetic and don't connect to

real world applications or real world use. Ideally, you want uh AGI to